Baggiani, F., Marsili-Libelli, S., 2009. Real-time fault detection and isolation in biological wastewater treatment plants. Water Sci. Technol. 60, 2949–2961. doi:10.2166/wst.2009.723
Chouaib, C., Mohamed-Faouzi, H., Messaoud, D., 2013. Adaptive kernel principal component analysis for nonlinear dynamic process monitoring, in: Control Conference (ASCC), 2013 9th Asian. pp. 1–6. doi:10.1109/ASCC.2013.6606291
Dong, D., McAvoy, T.J., 1996. Batch tracking via nonlinear principal component analysis. AIChE J. 42, 2199–2208. doi:10.1002/aic.690420810
Ge, Z., Yang, C., Song, Z., 2009. Improved kernel PCA-based monitoring approach for nonlinear processes. Chem. Eng. Sci. 64, 2245–2255. doi:10.1016/j.ces.2009.01.050
Kazor, K., Holloway, R.W., Cath, T.Y., Hering, A.S., 2016. Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility. Stoch. Environ. Res. Risk Assess. 30, 1527–1544. doi:10.1007/s00477-016-1246-2
Kresta, J.V., MacGregor, J.F., Marlin, T.E., 1991. Multivariate statistical monitoring of process operating performance. Can. J. Chem. Eng. 69, 35–47. doi:10.1002/cjce.5450690105
Miao, A., Song, Z., Ge, Z., Zhou, L., Wen, Q., 2013. Nonlinear fault detection based on locally linear embedding. J. Control Theory Appl. 11, 615–622. doi:10.1007/s11768-013-2102-2
Sanchez-Fernandez, A., Fuente, M.J., Sainz-Palmero, G.I., 2015. Fault detection in wastewater treatment plants using distributed PCA methods, in: 2015 IEEE 20th Conference on Emerging Technologies Factory Automation (ETFA). pp. 1–7. doi:10.1109/ETFA.2015.7301504
Tenenbaum, J.B., Silva, V. de, Langford, J.C., 2000. A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319–2323. doi:10.1126/science.290.5500.2319
Weinberger, K.Q., Saul, L.K., 2006. Unsupervised learning of image manifolds by semidefinite programming. Int. J. Comput. Vision 70, 77–90. doi:10.1007/s11263-005-4939-z
Wise, B.M., Veltkamp, D.J., Davis, B., Ricker, N.L., Kowalski, B.R., 1988. Principal components analysis for monitoring the West Valley Liquid-Fed Ceramic Melter, in: Management of Radioactive Wastes, and Non-Radioactive Wastes from Nuclear Facilities. Tucson, AZ.